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Repeatome Analysis of Plasma Circulating DNA in Patients with Cardiovascular Disease: Variation with Cell-Free DNA
Stefania Fumarola1, Monia Cecati2, Francesca Marchegiani3
1Advanced Technology Center for Aging Research, IRCCS INRCA, 60121 Ancona, Italy.
Insights
Low-pass next-generation sequencing (NGS) reveals repetitive DNA patterns in cell-free DNA (cfDNA). Specific repetitive elements correlate with cardiovascular disease biomarkers and comorbidities, offering new diagnostic potential.
Area of Science:
- Genomics
- Molecular Biology
- Biochemistry
Background:
- Repetitive DNA constitutes over 50% of the human genome and is found in circulating cell-free DNA (cfDNA).
- Previous research indicated cfDNA levels and integrity predict survival in elderly cardiovascular disease patients.
- The characterization of cfDNA repeat content using low-pass next-generation sequencing (NGS) requires further investigation.
Purpose of the Study:
- To determine if low-pass NGS can characterize the repeat content of cfDNA.
- To analyze the occurrence of repetitive DNA subfamilies in different cfDNA size fractions.
- To explore correlations between cfDNA repeat abundance and prognostic biomarkers in cardiovascular disease.
Main Methods:
- Analysis of cfDNA samples from 24 heart failure patients using low-pass NGS.
- Separation of cfDNA into dinucleosomal (>250 bp) and mononucleosomal (≤250 bp) fractions.
- Quantification and comparison of repetitive DNA subfamily abundance in each fraction.
Main Results:
- Alu repetitive elements were more abundant in the dinucleosomal cfDNA fraction.
- Alpha satellites were enriched in the mononucleosomal cfDNA fraction.
- Relative abundance of Alu, ALR, and L1HS DNA in the dinucleosomal fraction correlated with prognostic biomarkers; Alu DNA showed a negative association with chronic kidney disease.
Conclusions:
- Low-pass NGS is a cost-effective method for analyzing the cfDNA repeat landscape.
- The composition of plasma cfDNA may be influenced by various mechanisms in different physiological and pathological conditions.
- Characterizing cfDNA repeat content could identify novel biomarkers for cardiovascular disease.
Abstract:
Repetitive DNA represents over 50% of the human genome and is an abundant component of circulating cell-free DNA (cfDNA). We previously showed that cfDNA levels and integrity can predict survival in elderly patients with cardiovascular disease. Here, we aimed to clarify whether a low-pass next-generation sequencing (NGS) approach can characterize the repeat content of cfDNA. Considering the bimodal distribution of cfDNA fragment lengths, we examined the occurrence of repetitive DNA subfamilies separately in dinucleosomal (>250 bp) and mononucleosomal (≤250 bp) cfDNA sequences from 24 patients admitted for heart failure. An increase in the relative abundance of Alu repetitive elements was observed in the longer fraction, while alpha satellites were enriched in the mononucleosomal fraction. The relative abundance of Alu, ALR, and L1HS DNA in the dinucleosomal fraction correlated with different prognostic biomarkers, and Alu DNA was negatively associated with the presence of chronic kidney disease comorbidity. These results, together with the observed inverse correlation between Alu DNA abundance and cfDNA integrity, suggest that the composition of plasma cfDNA could be determined by multiple mechanisms in different physio-pathological conditions. In conclusion, low-pass NGS is an inexpensive method to analyze the cfDNA repeat landscape and identify new cardiovascular disease biomarkers.
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